Lake et al. propose three criteria which, they argue, will bring artificial intelligence (AI) systems closer to human cognitive abilities. In this paper, we explore the application of these criteria to a particular domain of human cognition: our capacity for moral reasoning. In doing so, we explore a set of considerations relevant to the development of AI moral decision-making. Our main focus is on the relation between dual-process accounts of moral reasoning and model-free/model-based forms of machine learning. We also discuss (...) how work in embodied and situated cognition could provide a valu- able perspective on future research. (shrink)

We argue that while digital health technologies (e.g. artificial intelligence, smartphones, and virtual reality) present significant opportunities for improving the delivery of healthcare, key concepts that are used to evaluate and understand their impact can obscure significant ethical issues related to patient engagement and experience. Specifically, we focus on the concept of empowerment and ask whether it is adequate for addressing some significant ethical concerns that relate to digital health technologies for mental healthcare. We frame these concerns using five key (...) ethical principles for AI ethics (i.e. autonomy, beneficence, non-maleficence, justice, and explicability), which have their roots in the bioethical literature, in order to critically evaluate the role that digital health technologies will have in the future of digital healthcare. (shrink)

The issue of genetic inheritance, and particularly the contradictory rights of donors, recipients and donor offspring as to the disclosure of donor identities, is ethically complicated. Donors, donor offspring and parents of donor offspring may appeal to individual rights for confidentiality or disclosure within legal systems based on liberal rights discourse. This paper explores the ethical issues of non-disclosure of genetic inheritance by contrasting two principle models used to articulate the problem—liberal and communitarian ethical models. It argues that whilst the (...) latter provides a more constructive avenue to providing an ethics for donation than the competing and contradictory positions represented in a liberal rights approach, it raises issues of ethical judgement and authority that remain problematic. This ethical discussion is supported by a field study, funded by the Wellcome Trust, exploring the perceptions and experiences of recipients of donor sperm and their partners towards donor anonymity. The field study provides the empirical basis of an argument for making ethical judgements on the grounds of the community good rather than individual rights, that nevertheless recognises that both are inherently problematic. (shrink)

Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these interactions (...) as instances of an ISA whose reward depends on actions performed by the user. Such agents benefit by steering the user’s behaviour towards outcomes that maximise the ISA’s utility, which may or may not be aligned with that of the user. Video games, news recommendation aggregation engines, and fitness trackers can all be instances of this general case. Our analysis facilitates distinguishing various subcases of interaction, as well as second-order effects that might include the possibility for adaptive interfaces to induce behavioural addiction, and/or change in user belief. We present these types of interaction within a conceptual framework, and review current examples of persuasive technologies and the issues that arise from their use. We argue that the nature of the feedback commonly used by learning agents to update their models and subsequent decisions could steer the behaviour of human users away from what benefits them, and in a direction that can undermine autonomy and cause further disparity between actions and goals as exemplified by addictive and compulsive behaviour. We discuss some of the ethical, social and legal implications of this technology and argue that it can sometimes exploit and reinforce weaknesses in human beings. (shrink)

The right to privacy is one of the rights most widely demanded today. Privacy has not always so been demanded. The reasons for the present concern for privacy are complex and obscure. They obviously relate both to the possibilities for very considerable enjoyment of privacy by the bulk of people living in affluent societies brought about by twentieth-century affluence, and to the development of very efficient methods of thoroughly and systematically invading this newly found privacy. However, interesting and important as (...) it is as a socio-philosophical inquiry, the concern of this paper is not with why privacy has come to be so highly prized, but rather with whether it is rightly prized, and if so, when and why. This means that my concern will be with what privacy is, what is its domain, whether there is a right to privacy, and, if so, whether it is an ultimate, basic, albeit, a prima facie right, or simply a conditional right. (shrink)

This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that is good for a human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several (...) key social domains: healthcare, education, governance and social development, and media and entertainment. It also highlights three broader themes: positive computing, personalised human–computer interaction, and autonomy and self-determination. The review argues that three themes will be central to ongoing discussions and research by showing how they can be used to identify open questions related to the ethics of digital well-being. (shrink)

This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that isgood fora human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several key social (...) domains: healthcare, education, governance and social development, and media and entertainment. It also highlights three broader themes: positive computing, personalised human–computer interaction, and autonomy and self-determination. The review argues that three themes will be central to ongoing discussions and research by showing how they can be used to identify open questions related to the ethics of digital well-being. (shrink)

Common mental health disorders are rising globally, creating a strain on public healthcare systems. This has led to a renewed interest in the role that digital technologies may have for improving mental health outcomes. One result of this interest is the development and use of artificial intelligence for assessing, diagnosing, and treating mental health issues, which we refer to as ‘digital psychiatry’. This article focuses on the increasing use of digital psychiatry outside of clinical settings, in the following sectors: education, (...) employment, financial services, social media, and the digital well-being industry. We analyse the ethical risks of deploying digital psychiatry in these sectors, emphasising key problems and opportunities for public health, and offer recommendations for protecting and promoting public health and well-being in information societies. (shrink)

We explore the question of whether machines can infer information about our psychological traits or mental states by observing samples of our behaviour gathered from our online activities. Ongoing technical advances across a range of research communities indicate that machines are now able to access this information, but the extent to which this is possible and the consequent implications have not been well explored. We begin by highlighting the urgency of asking this question, and then explore its conceptual underpinnings, in (...) order to help emphasise the relevant issues. To answer the question, we review a large number of empirical studies, in which samples of behaviour are used to automatically infer a range of psychological constructs, including affect and emotions, aptitudes and skills, attitudes and orientations (e.g. values and sexual orientation), personality, and disorders and conditions (e.g. depression and addiction). We also present a general perspective that can bring these disparate studies together and allow us to think clearly about their philosophical and ethical implications, such as issues related to consent, privacy, and the use of persuasive technologies for controlling human behaviour. (shrink)

In his paper, Jakob Hohwy outlines a theory of the brain as an organ for prediction-error minimization, which he claims has the potential to profoundly alter our understanding of mind and cognition. One manner in which our understanding of the mind is altered, according to PEM, stems from the neurocentric conception of the mind that falls out of the framework, which portrays the mind as “inferentially-secluded” from its environment. This in turn leads Hohwy to reject certain theses of embodied cognition. (...) Focusing on this aspect of Hohwy’s argument, we first outline the key components of the PEM framework such as the “evidentiary boundary,” before looking at why this leads Hohwy to reject certain theses of embodied cognition. We will argue that although Hohwy may be correct to reject specific theses of embodied cognition, others are in fact implied by the PEM framework and may contribute to its development. We present the metaphor of the “body as a laboratory” in order to highlight wha... (shrink)

This chapter serves as an introduction to the edited collection of the same name, which includes chapters that explore digital well-being from a range of disciplinary perspectives, including philosophy, psychology, economics, health care, and education. The purpose of this introductory chapter is to provide a short primer on the different disciplinary approaches to the study of well-being. To supplement this primer, we also invited key experts from several disciplines—philosophy, psychology, public policy, and health care—to share their thoughts on what they (...) believe are the most important open questions and ethical issues for the multi-disciplinary study of digital well-being. We also introduce and discuss several themes that we believe will be fundamental to the ongoing study of digital well-being: digital gratitude, automated interventions, and sustainable co-well-being. (shrink)

This edited volume presents an overview of cutting-edge research areas within digital ethics as defined by the Digital Ethics Lab of the University of Oxford. It identifies new challenges and opportunities of influence in setting the research agenda in the field. The yearbook presents research on the following topics: conceptual metaphor theory, cybersecurity governance, cyber conflicts, anthropomorphism in AI, digital technologies for mental healthcare, data ethics in the asylum process, AI’s legitimacy and democratic deficit, digital afterlife industry, automatic prayer bots, (...) foresight analysis and the future of AI. This volume appeals to students, researchers and professionals. (shrink)

This chapter serves as an introduction to the edited collection of the same name, which includes chapters that explore digital well-being from a range of disciplinary perspectives, including philosophy, psychology, economics, health care, and education. The purpose of this introductory chapter is to provide a short primer on the different disciplinary approaches to the study of well-being. To supplement this primer, we also invited key experts from several disciplines—philosophy, psychology, public policy, and health care—to share their thoughts on what they (...) believe are the most important open questions and ethical issues for the multi-disciplinary study of digital well-being. We also introduce and discuss several themes that we believe will be fundamental to the ongoing study of digital well-being: digital gratitude, automated interventions, and sustainable co-well-being. (shrink)

A cognitivist account of decision-making views choice behaviour as a serial process of deliberation and commitment, which is separate from perception and action. By contrast, recent work in embodied decision-making has argued that this account is incompatible with emerging neurophysiological data. We argue that this account has significant overlap with an embodied account of predictive processing, and that both can offer mutual development for the other. However, more importantly, by demonstrating this close connection we uncover an alternative perspective on the (...) nature of decision-making, and the mechanisms that underlie our choice behaviour. This alternative perspective allows us to respond to a challenge for predictive processing, which claims that the satisfaction of distal goal-states is underspecified. Answering this challenge requires the adoption of an embodied perspective. (shrink)

Connectionist models provide a promising alternative to the traditional computational approach that has for several decades dominated cognitive science and artificial intelligence, although the nature of connectionist models and their relation to symbol processing remains controversial. Connectionist models can be characterized by three general computational features: distinct layers of interconnected units, recursive rules for updating the strengths of the connections during learning, and “simple” homogeneous computing elements. Using just these three features one can construct surprisingly elegant and powerful models of (...) memory, perception, motor control, categorization, and reasoning. What makes the connectionist approach unique is not its variety of representational possibilities or its departure from explicit rule-based models, or even its preoccupation with the brain metaphor. Rather, it is that connectionist models can be used to explore systematically the complex interaction between learning and representation, as we try to demonstrate through the analysis of several large networks. (shrink)

The field of economics proves to be a matter of metaphor and storytelling - its mathematics is metaphoric and its policy-making is narrative. Economists have begun to realize this and to rethink how they speak. This volume is the result of a conference held at Wellesley College, involving both theoretical and applied economists, that explored the consequences of the rhetoric and the conversation of the field of economics.

Has a moral agent really done his duty when he has done what he wronglybelieves to be his duty? Is it right to act in accord with one's beliefs, even when they are mistaken? Or are we always obliged to perform that act which is objectively obligatory? In some such ways as these the problem as to whether one's ‘objective duty’ or one's ‘subjective duty’ is one's real duty has been posed. It might be argued that the objective view is (...) plainly right and that there appears to be a problem only because moral language is here being misused; that the problem is seen to be no problem once we accurately and fully describe acts based on erroneous beliefs. But this is like arguing that there is no problem as to whether the killing of innocent persons is intrinsically wrong, since we can describe each act involving killing in a long-hand way which circumvents the problem concerning the principle. (shrink)

In this Paper I am concerned to argue that the traditionally and contemporarily important arguments for a liberal society do provide a justification for what may fairly be called a liberal society. However, many liberals may wish to deny that the society which these arguments are seen to justify when their various limitations and qualifications are noted, can properly be called liberal, for it is less committed to non-interference with liberty than is the liberal society which those who advance these (...) arguments believe to be justified by them. (shrink)

There are many uses of the word ‘ought’, not all of which are moral uses. The following sentences contain ‘oughts’ which are not moral ‘oughts’. The peaches on the tree nearest the house ought to be ripe. The old car ought to go now it's had a re-bore. You ought to prune your Lorraine Lee roses in February. You ought to wash your hands before meals. You ought to take more exercise.

In the present paper we give a functional interpretation of Aczel's constructive set theories CZF − and CZF in systems T ∈ and T ∈ + of constructive set functionals of finite types. This interpretation is obtained by a translation × , a refinement of the ∧ -translation introduced by Diller and Nahm 49–66) which again is an extension of Gödel's Dialectica translation. The interpretation theorem gives characterizations of the definable set functions of CZF − and CZF in terms of (...) constructive set functionals. In a second part we introduce constructive set theories in all finite types. We expand the interpretation to these theories and give a characterization of the translation × . We further show that the simplest non-trivial axiom of extensionality is not interpretable by functionals of T ∈ and T ∈ + . We obtain this result by adapting Howard's notion of hereditarily majorizable functionals to set functionals. Subject of the last section is the translation ∨ that is defined in Burr for an interpretation of Kripke-Platek set theory with infinity. (shrink)

We define classes Φnof formulae of first-order arithmetic with the following properties:(i) Everyφϵ Φnis classically equivalent to a Πn-formula (n≠ 1, Φ1:= Σ1).(ii)(iii)IΠnandiΦn(i.e., Heyting arithmetic with induction schema restricted to Φn-formulae) prove the same Π2-formulae.We further generalize a result by Visser and Wehmeier. namely that prenex induction within intuitionistic arithmetic is rather weak: After closing Φnboth under existential and universal quantification (we call these classes Θn) the corresponding theoriesiΘnstill prove the same Π2-formulae. In a second part we consideriΔ0plus collection-principles. We (...) show that both the provably recursive functions and the provably total functions ofare polynomially bounded. Furthermore we show that the contrapositive of the collection-schema gives rise to instances of the law of excluded middle and hence. (shrink)

Our aim in this paper is to explore two possible directions of interaction between normative folk psychology and decision theory. In one direction, folk psychology plays a regulative role that constrains practical decision‐making. In the other direction, decision theory provides novel tools and norms that shape folk psychology. We argue that these interactions could lead to the emergence of an iterative “decision theoretic spiral," where folk psychology influences decision‐making, decision‐making is studied by decision theory, and decision theory influences folk psychology. (...) Understanding these interactions is important both for the theoretical study of social cognition and decision theory, and also for thinking about how to implement practical interventions into real‐world decision‐making. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:IntroductionCynthia B. CohenThe explosion of genetic information in recent years raises a fundamental question for us as individuals and as members of various communities: Have we an obligation to know as much as possible about our genes—or should we bypass genetic information, leaving it hidden? A terrible ambivalence grips us when it comes to our genes. We want to respond to the Socratic call to know ourselves by learning (...) what lies on the minute threads of the chromosomes spun into the nuclei of our cells. At the same time, we fear obtaining that information, for it seems functionally equivalent to the oracle at Delphi, revealing a distinct and dangerous knowledge we would rather not have.What is it about genetic knowledge that creates such ambivalence in us? Genetic knowledge is empowering. It offers us the freedom to shape the contours of our lives and those of our families. At the same time, genetic knowledge is disempowering. It bears a peculiar mark of inevitability, telling us that we have no control over our present or future in important respects. Better to hide from such overbearing information than to suffer the assaults on our freedom it seems to create.We can see this ambivalence about genetic knowledge appearing again and again as the field of genetics has grown. Initially, genetics emerged as a tool for understanding how traits and diseases are passed from generation to generation. We used genetic testing mostly to enhance our personal decision making about reproductive matters. It was at this time that our hesitancy about pursuing such testing first arose, for we feared being put into a position of asking such painful questions as, “Knowing what we do about our genes, should we have children?” As the scope of genetic information expanded, we learned to test for genes that could signal the development of such terrible conditions as Huntington’s disease. The possibility of gaining access to such disturbing information exacerbated our fear of genetic knowledge—to some, the certainty of knowing seemed worse than the uncertainty of not knowing. As genetic research has disclosed genes associated with conditions that might, but not necessarily will occur, the uncertainty of knowing, to some, seems worse than that of not knowing. Further, questions focused on individuals, although still pertinent, are being supplanted by broader questions about families and [End Page vii] social groups. When added to the personal agony that genetic information can engender, the specter of egregious discrimination seems to some to outweigh the value of knowing. As the net is cast further and further from the initial genetic inquiries, the call to halt or control certain kinds of genetic testing is growing increasingly loud.Ambivalence about whether to obtain genetic information hovers over the pages of this issue of the Kennedy Institute of Ethics Journal. The authors address both the promise and the threat of the information to be derived from genetic tests. Each examines a different facet of the problem of knowing that vexes the terrain of genetic technology and proposes blueprints for resolving it.Cynthia B. Cohen opens by examining whether genetic testing should be used to unearth information about conditions children might develop later in life. She challenges the current trend within the professional genetics community to keep such information hidden, claiming that the putative psychosocial burdens of receiving that information are outweighed by the psychosocial benefits. Moreover, Cohen maintains that having such information can enhance, rather than impair, the adult autonomy of children. She offers a framework for assessing whether to test in individual cases and maintains that it is the responsibility of parents to make the final decision for their children.A similar response to our ambivalence about obtaining genetic knowledge is given by Robert Wachbroit. In discussing the dilemma caused by pleiotropic genetic tests—those in which a single gene mutation is involved in several apparently unrelated diseases—he favors fully disclosing their dual nature to patients before testing. Wachbroit’s emphasis on openness extends beyond informed consent recommendations, for he maintains that patients have an obligation to know as much about their genetic proclivities as possible. He goes on to confute the common wisdom that genetic information is... (shrink)

Decision-making has traditionally been modelled as a serial process, consisting of a number of distinct stages. The traditional account assumes that an agent first acquires the necessary perceptual evidence, by constructing a detailed inner repre- sentation of the environment, in order to deliberate over a set of possible options. Next, the agent considers her goals and beliefs, and subsequently commits to the best possible course of action. This process then repeats once the agent has learned from the consequences of her (...) actions and subsequently updated her beliefs. Under this interpretation, the agent’s body is considered merely as a means to report the decision, or to acquire the relevant goods. However, embodied cognition argues that an agent’s body should be understood as a proper part of the decision-making pro- cess. Accepting this principle challenges a number of commonly held beliefs in the cognitive sciences, but may lead to a more unified account of decision-making. This thesis explores an embodied account of decision-making using a recent frame- work known as predictive processing. This framework has been proposed by some as a functional description of neural activity. However, if it is approached from an embodied perspective, it can also offer a novel account of decision-making that ex- tends the scope of our explanatory considerations out beyond the brain and the body. We explore work in the cognitive sciences that supports this view, and argue that decision theory can benefit from adopting an embodied and predictive perspective. (shrink)

We aim, in this paper, to discuss how far the ethical framework for assessing medical research, generalized into other institutional settings, is also appropriate for social science research, particularly qualitative research. Recently, researchers have raised concerns about ‘ethics creep’, incompatibility with participatory methodologies and the exclusion of service users. Researchers are increasingly raising questions as to whether the processes of governance and the paradigmatic assumptions pervading research ethics committees are fit for purpose when they deliberate on non-clinical research that uses (...) social science methods. We review whether ethical scrutiny by research ethics committees is asking the wrong questions and holding research to the wrong standards. (shrink)

Learning is fundamentally about action, enabling the successful navigation of a changing and uncertain environment. The experience of pain is central to this process, indicating the need for a change in action so as to mitigate potential threat to bodily integrity. This review considers the application of Bayesian models of learning in pain that inherently accommodate uncertainty and action, which, we shall propose are essential in understanding learning in both acute and persistent cases of pain.

This article discusses the nature of euthanasia, and the way in which redevelopment of the concept of euthanasia in some influential recent philosophical writing has led to morally less discriminating killing/letting die/not saving being misdescribed as euthanasia. Peter Singer's defence of non-voluntary ‘euthanasia’of defective infants in his influential book Practical Ethics is critically evaluated. We argue that Singer's pseudo-euthanasia arguments in Practical Ethics are unsatisfactory as approaches to determining the legitimacy of killing, and that these arguments present a total utilitarian (...) improvement policy—not a case for non-voluntary euthanasia. (shrink)